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Replacing missing values in data analysis by estimating values from the available data.
Detecting and resolving errors in coding and data entry.
Indicates how much the dependent variable changes for every one-unit increase in the independent variable.
The numerical difference between an observed value and the value predicted by the regression line.
Graphic depiction of a bivariate distribution.
Documentation for a data file that usually contains the question wording and responses codes for each variable.
Shows whether the association in a contingency table is statistically significant.
The value or category in a distribution with the highest frequency.
A cleaning technique that can be programmed for automatic detection in computer-assisted interviewing.
Examples are Cramer’s phi and the correlation coefficient.
A graphic display of a univariate distribution.
The most commonly used statistical measure of variation.